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[CourseClub.Me] Udacity - Natural Language Processing Nanodegree v1.0.0

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CourseClub Me Udacity - Natural Language Processing Nanodegree v1 0 0

文件列表
  1. Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/03. Welcome to NLP-g-AlFF61p0I.mp411.73MB
  2. Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/04. Context-J-4pfu2w1C0.mp44.62MB
  3. Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/05. Natural Language Processing-sQiURKPFXNM.mp415.48MB
  4. Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/06. Towards Augmented Intelligence-6y2B8VKoGTw.mp412.37MB
  5. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/01. Natural Language Processing-UQBxJzoCp-I.mp47.84MB
  6. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp41.28MB
  7. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/03. Text Processing-pqheVyctkNQ.mp42.96MB
  8. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/05. Feature Extraction-UgENzCmfFWE.mp43.47MB
  9. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/06. Modeling-P4w_2rkxBvE.mp41.19MB
  10. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/08. Part-of-Speech Tagging-WFEu8bXI5OA.mp42.15MB
  11. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition-QUQu2nsE7vE.mp41.17MB
  12. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/10. Bag Of Words-A7M1z8yLl0w.mp44.01MB
  13. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/11. TF-IDF-XZBiBIRcACE.mp42.05MB
  14. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/12. One-Hot Encoding-a0j1CDXFYZI.mp41.08MB
  15. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/13. Word Embeddings-4mM_S9L2_JQ.mp41.22MB
  16. Part 02-Module 01-Lesson 01_Building an NLP Pipeline/14. T-SNE-xxcK8oZ6_WE.mp45.56MB
  17. Part 03-Module 01-Lesson 01_Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp418.14MB
  18. Part 03-Module 01-Lesson 01_Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp412.86MB
  19. Part 03-Module 01-Lesson 01_Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp412.22MB
  20. Part 03-Module 01-Lesson 01_Voice User Interfaces/04. Conversational AI with Alexa-1EU8jusdLZI.mp424.15MB
  21. Part 03-Module 01-Lesson 01_Voice User Interfaces/06. Challenges in ASR-59nKRkvk6As.mp45.82MB
  22. Part 03-Module 01-Lesson 01_Voice User Interfaces/07. Phonetics-v3lz8t0ZWnQ.mp43.34MB
  23. Part 03-Module 01-Lesson 01_Voice User Interfaces/09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp45.85MB
  24. Part 03-Module 01-Lesson 01_Voice User Interfaces/10. Language Models-vrrP9fzJGSE.mp42.71MB
  25. Part 03-Module 01-Lesson 01_Voice User Interfaces/11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp43.79MB
  26. Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/01. Intro NLP-6myHs4e71Ys.mp413.56MB
  27. Part 05-Module 01-Lesson 04_Intro to NLP/01. Intro Arpan-MW5MWOLj064.mp47.46MB
  28. Part 05-Module 01-Lesson 04_Intro to NLP/02. Welcome to NLP-g-AlFF61p0I.mp44.97MB
  29. Part 05-Module 01-Lesson 04_Intro to NLP/03. Structured Languages-NsmqUIHlk6U.mp45.36MB
  30. Part 05-Module 01-Lesson 04_Intro to NLP/04. Grammar-Jw3dA7xmoQ4.mp42.14MB
  31. Part 05-Module 01-Lesson 04_Intro to NLP/05. Unstructured Text-OmwSdaec5vU.mp44.63MB
  32. Part 05-Module 01-Lesson 04_Intro to NLP/07. Context-J-4pfu2w1C0.mp44.62MB
  33. Part 05-Module 01-Lesson 04_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.mp43.39MB
  34. Part 05-Module 01-Lesson 04_Intro to NLP/09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp41.28MB
  35. Part 05-Module 01-Lesson 04_Intro to NLP/10. Text Processing-pqheVyctkNQ.mp42.96MB
  36. Part 05-Module 01-Lesson 04_Intro to NLP/11. Feature Extraction-UgENzCmfFWE.mp43.47MB
  37. Part 05-Module 01-Lesson 04_Intro to NLP/12. Modeling-P4w_2rkxBvE.mp41.19MB
  38. Part 05-Module 01-Lesson 05_Text Processing/01. Text Processing-6LO6I5M18PQ.mp45.55MB
  39. Part 05-Module 01-Lesson 05_Text Processing/06. Capturing Text Data-Z4mnMN1ApG4.mp42.37MB
  40. Part 05-Module 01-Lesson 05_Text Processing/07. Cleaning-qawXp9DPV6I.mp419.59MB
  41. Part 05-Module 01-Lesson 05_Text Processing/08. Normalization-eOV2UUY8vtM.mp43.13MB
  42. Part 05-Module 01-Lesson 05_Text Processing/09. Tokenization-4Ieotbeh4u8.mp43.22MB
  43. Part 05-Module 01-Lesson 05_Text Processing/10. Stop Word Removal-WAU_Ij0GJbw.mp41.96MB
  44. Part 05-Module 01-Lesson 05_Text Processing/11. Part-of-Speech Tagging-WFEu8bXI5OA.mp42.15MB
  45. Part 05-Module 01-Lesson 05_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.mp41.17MB
  46. Part 05-Module 01-Lesson 05_Text Processing/13. Stemming And Lemmatization-7Gjf81u5hmw.mp44.93MB
  47. Part 05-Module 01-Lesson 05_Text Processing/14. Summary-zKYEvRd2XmI.mp4977.95KB
  48. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.mp43.81MB
  49. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp48.49MB
  50. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp42.62MB
  51. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp421.06MB
  52. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp47.25MB
  53. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp45.41MB
  54. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp414.35MB
  55. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp46.09MB
  56. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp41.8MB
  57. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp49.33MB
  58. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp45.14MB
  59. Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp41.41MB
  60. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.mp43.78MB
  61. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/02. NLPND POS 01 Intro V1-P4aMooNAGVs.mp41.6MB
  62. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/03. NLPND POS 02 Lookup Table V1-BkbeShOwz6w.mp41.46MB
  63. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.mp43.06MB
  64. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.mp41.3MB
  65. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.mp44.43MB
  66. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.mp44.37MB
  67. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/08. NLPND POS 07 Solution How Many Paths V1-5ZITaEcNMpM.mp42.1MB
  68. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/09. NLPND POS 08 Quiz How Many Paths Now V1-TSm1a_EL9Kk.mp41.4MB
  69. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.mp4690.61KB
  70. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.mp4425.07KB
  71. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.mp41.12MB
  72. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.mp46.1MB
  73. Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.mp41.09MB
  74. Part 05-Module 02-Lesson 02_Jobs in NLP/02. Meet the Careers Team-cuKecPpZ7PM.mp420.77MB
  75. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp49.28MB
  76. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp43.36MB
  77. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp43.72MB
  78. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp421.79MB
  79. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4569.35KB
  80. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp41.59MB
  81. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp43.99MB
  82. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp42.25MB
  83. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp46.92MB
  84. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp413.17MB
  85. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp43.03MB
  86. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp42.77MB
  87. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp425.04MB
  88. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp43.3MB
  89. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp42.45MB
  90. Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp43.46MB
  91. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/01. Feature Extraction-Bd6TJB8eVLQ.mp45.95MB
  92. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/02. Bag Of Words-A7M1z8yLl0w.mp44.01MB
  93. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/03. TF-IDF-XZBiBIRcACE.mp42.05MB
  94. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/04. One-Hot Encoding-a0j1CDXFYZI.mp41.08MB
  95. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/05. Word Embeddings-4mM_S9L2_JQ.mp41.22MB
  96. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/06. Word2Vec-7jjappzGRe0.mp42.98MB
  97. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/07. GloVe-KK3PMIiIn8o.mp43.81MB
  98. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/08. Embeddings For Deep Learning-gj8u1KG0H2w.mp44.7MB
  99. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/09. T-SNE-xxcK8oZ6_WE.mp45.56MB
  100. Part 06-Module 01-Lesson 01_Feature extraction and embeddings/10. NLP Summary-B9ul8fsQYOA.mp41.38MB
  101. Part 06-Module 01-Lesson 02_Topic Modeling/01. Introduction-pmpHsYaKxr0.mp43.95MB
  102. Part 06-Module 01-Lesson 02_Topic Modeling/03. Bag Of Words-WILdZVzSAiE.mp41.63MB
  103. Part 06-Module 01-Lesson 02_Topic Modeling/04. Latent Variables-9JQ51vOh_NY.mp41.97MB
  104. Part 06-Module 01-Lesson 02_Topic Modeling/05. Matrix Multiplication-8GE2EvgdG1Y.mp42.93MB
  105. Part 06-Module 01-Lesson 02_Topic Modeling/06. Matrices-xBrotILG97c.mp43.04MB
  106. Part 06-Module 01-Lesson 02_Topic Modeling/07. Quiz Picking Topics-aMNNHZ1Z-FA.mp42.21MB
  107. Part 06-Module 01-Lesson 02_Topic Modeling/08. Solution Picking Topics-c4_EyKrMzg4.mp42.24MB
  108. Part 06-Module 01-Lesson 02_Topic Modeling/09. Beta Distributions-jR4sf50AFio.mp43.92MB
  109. Part 06-Module 01-Lesson 02_Topic Modeling/10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.mp42.62MB
  110. Part 06-Module 01-Lesson 02_Topic Modeling/11. Latent Dirichlet Alocation-2wn8pNa6mg0.mp4882.68KB
  111. Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample A Topic-Ft2YjIlpF1A.mp41.64MB
  112. Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample A Topic-znDgb27W5As.mp41.64MB
  113. Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample A Word-FckwjJOm9Qk.mp42.24MB
  114. Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample a Word-6UPqq5xzWpk.mp42.24MB
  115. Part 06-Module 01-Lesson 02_Topic Modeling/14. Combining the Models-KRjuchtNilM.mp45.85MB
  116. Part 06-Module 01-Lesson 02_Topic Modeling/15. Outro-y8vecBYUFPo.mp4532.51KB
  117. Part 06-Module 01-Lesson 03_Sentiment Analysis/01. Intro-MXeF39TDdZY.mp45.2MB
  118. Part 06-Module 01-Lesson 03_Sentiment Analysis/02. Sentiment Analysis 1-5aIgZ3llgSo.mp42.92MB
  119. Part 06-Module 01-Lesson 03_Sentiment Analysis/05. Sentiment Analysis RNN GIF-GZWyEHOdZ0w.mp4416.58KB
  120. Part 06-Module 01-Lesson 04_Sequence to Sequence/03. Jay's Introduction-HPOzAlXhuxQ.mp418.98MB
  121. Part 06-Module 01-Lesson 04_Sequence to Sequence/04. Applications seq2seq-tDJBDwriJYQ.mp42.48MB
  122. Part 06-Module 01-Lesson 04_Sequence to Sequence/05. Architecture encoder decoder-dkHdEAJnV_w.mp44.49MB
  123. Part 06-Module 01-Lesson 04_Sequence to Sequence/06. Architecture in More Depth-rdAo4MqLbEk.mp45.35MB
  124. Part 06-Module 01-Lesson 05_Deep Learning Attention/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp436.67MB
  125. Part 06-Module 01-Lesson 05_Deep Learning Attention/02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp43.76MB
  126. Part 06-Module 01-Lesson 05_Deep Learning Attention/03. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp41.73MB
  127. Part 06-Module 01-Lesson 05_Deep Learning Attention/04. 04 Attention Overview Decoding V2-DJxiPd585GY.mp43.2MB
  128. Part 06-Module 01-Lesson 05_Deep Learning Attention/06. 05 Attention Encoder V2-sphe9LDT4rA.mp42.41MB
  129. Part 06-Module 01-Lesson 05_Deep Learning Attention/07. 06 Attention Decoder V1-5mMz6nN9_Ss.mp43.15MB
  130. Part 06-Module 01-Lesson 05_Deep Learning Attention/09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp46.66MB
  131. Part 06-Module 01-Lesson 05_Deep Learning Attention/10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp48.01MB
  132. Part 06-Module 01-Lesson 05_Deep Learning Attention/11. 09 Additive Attention V2-93VfVWZ-IvY.mp44.17MB
  133. Part 06-Module 01-Lesson 05_Deep Learning Attention/13. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp46.62MB
  134. Part 06-Module 01-Lesson 05_Deep Learning Attention/15. 11 Other Attention Methods V2-VmsR9FVpQiM.mp45.84MB
  135. Part 06-Module 01-Lesson 05_Deep Learning Attention/16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp46.1MB
  136. Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp418.6MB
  137. Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp432.54MB
  138. Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp420.63MB
  139. Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp49.98MB
  140. Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp48.93MB
  141. Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp418.14MB
  142. Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp412.86MB
  143. Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp412.22MB
  144. Part 07-Module 01-Lesson 03_Speech Recognition/01. Introduction to Speech Recognition-EcsLCpnGBGs.mp421.41MB
  145. Part 07-Module 01-Lesson 03_Speech Recognition/02. Challenges in ASR-59nKRkvk6As.mp45.82MB
  146. Part 07-Module 01-Lesson 03_Speech Recognition/03. Signal Analysis-AJKKQJZsb7o.mp47.4MB
  147. Part 07-Module 01-Lesson 03_Speech Recognition/06. Feature Extraction-qEPu5nQ4IMg.mp46.53MB
  148. Part 07-Module 01-Lesson 03_Speech Recognition/09. Phonetics-v3lz8t0ZWnQ.mp43.34MB
  149. Part 07-Module 01-Lesson 03_Speech Recognition/12. Voice Data Lab Introduction-9072Yx9hOXk.mp47.21MB
  150. Part 07-Module 01-Lesson 03_Speech Recognition/14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp45.85MB
  151. Part 07-Module 01-Lesson 03_Speech Recognition/15. HMMs in Speech Recognition-9H2wP7g9d1g.mp43.84MB
  152. Part 07-Module 01-Lesson 03_Speech Recognition/16. Language Models-vrrP9fzJGSE.mp42.71MB
  153. Part 07-Module 01-Lesson 03_Speech Recognition/17. N-Grams-cSP1p9wWhHg.mp43.35MB
  154. Part 07-Module 01-Lesson 03_Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.mp43.89MB
  155. Part 07-Module 01-Lesson 03_Speech Recognition/21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp43.79MB
  156. Part 07-Module 01-Lesson 03_Speech Recognition/24. Outro-xMXF5PQxHnk.mp44.38MB
  157. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp49.74MB
  158. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp420.89MB
  159. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp424.26MB
  160. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp417.27MB
  161. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp425.79MB
  162. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp419.68MB
  163. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp417.74MB
  164. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp426.65MB
  165. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp434.84MB
  166. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp412.76MB
  167. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp414.77MB
  168. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. Regra da cadeia-YAhIBOnbt54.mp41.46MB
  169. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp437.06MB
  170. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp410.43MB
  171. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.mp421.12MB
  172. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp410.5MB
  173. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp422.11MB
  174. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp421.57MB
  175. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp418.1MB
  176. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp417.23MB
  177. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/24. RNN Summary-nXP0oGGRrO8.mp47.26MB
  178. Part 08-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp436.16MB
  179. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.mp414.66MB
  180. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.mp44.03MB
  181. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.mp41.07MB
  182. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.mp42.22MB
  183. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.mp41.04MB
  184. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.mp4676.91KB
  185. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.mp41.5MB
  186. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.mp41.58MB
  187. Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.mp41.71MB
  188. Part 08-Module 01-Lesson 03_Hyperparameters/02. Introduction-erwnzFD7AeE.mp47.04MB
  189. Part 08-Module 01-Lesson 03_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp49.62MB
  190. Part 08-Module 01-Lesson 03_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp44.78MB
  191. Part 08-Module 01-Lesson 03_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.mp41.46MB
  192. Part 08-Module 01-Lesson 03_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp43.4MB
  193. Part 08-Module 01-Lesson 03_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp44.12MB
  194. Part 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.mp43.45MB
  195. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/01. Andrew Trask - Intro-da1I0mea1jQ.mp423.95MB
  196. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem-IsTOnkAKaJw.mp417.65MB
  197. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.mp424.79MB
  198. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/07. Transforming Text into Numbers-7rHBU5cbePE.mp46.64MB
  199. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution-45ihpPaeO8E.mp49.22MB
  200. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network-aM2k7RTjjJI.mp410.17MB
  201. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp454.58MB
  202. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp450.21MB
  203. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp420.67MB
  204. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.mp428.86MB
  205. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction-Kl3hWxizKVg.mp422.33MB
  206. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp439.15MB
  207. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp433.67MB
  208. Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/22. Andrew Trask - Outro-nIF0GLOQglQ.mp411.79MB
  209. Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp463.37MB
  210. Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/03. Data Preprocessing-h4-LwZU9_k8.mp46.86MB
  211. Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/04. Creating Testing Sets-BRBbrNLz1ho.mp42.13MB
  212. Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.mp419.11MB
  213. Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/06. Training The Network-nknJ3Xu3ld0.mp48.41MB
  214. Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp423.11MB
  215. Part 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.mp44.1MB
  216. Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4149.66MB
  217. Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.mp49.65MB
  218. Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.mp47.73MB
  219. Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.mp43.88MB
  220. Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.mp48.09MB
  221. Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.mp44.16MB
  222. Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.mp47.34MB
  223. Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.mp452.04MB
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概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA